Meta Analysis in R {https://t.co/wkT5xAE4fz} #rstats #DataScience
— R-bloggers (@Rbloggers) August 15, 2021
Using R and Microsoft SQL Server to run prediction model with API call {https://t.co/3WlTJ5SW6F} #rstats #DataScience
— R-bloggers (@Rbloggers) August 20, 2021
Predict housing prices in Austin TX with tidymodels and xgboost {https://t.co/PI2ztdwyJ1} #rstats #DataScience
— R-bloggers (@Rbloggers) August 16, 2021
Text mining Star Trek dialogue and classifying characters using machine learning {https://t.co/QZ7bxDnFl6} #rstats #DataScience
— R-bloggers (@Rbloggers) August 18, 2021
Using Shiny in Healthcare: Examples from the 2021 Shiny Contest {https://t.co/G2KwmUzcDM} #rstats #DataScience
— R-bloggers (@Rbloggers) August 17, 2021
10 Steps to Get Started in Sports Analytics {https://t.co/Z2xh6DqT9Y} #rstats #DataScience
— R-bloggers (@Rbloggers) August 20, 2021
Creating a composite gif with multiple gganimate panels {https://t.co/uJoi1u4N83} #rstats #DataScience
— R-bloggers (@Rbloggers) August 15, 2021
How to make your home Shiny or Rstudio Server accessible from the public internet {https://t.co/nMCygWXSKC} #rstats #DataScience
— R-bloggers (@Rbloggers) August 17, 2021
How to Overlay Plots in R-Quick Guide with Example {https://t.co/Y0OO25rVfB} #rstats #DataScience
— R-bloggers (@Rbloggers) August 15, 2021
NBA Analytics Tutorial – Part 1: Using R to Analyze the Chicago Bulls’ Last Dance {https://t.co/RgoMQAErxf} #rstats #DataScience
— R-bloggers (@Rbloggers) August 19, 2021
Monitoring systemic risk with R {https://t.co/3lHNqawhMq} #rstats #DataScience
— R-bloggers (@Rbloggers) August 18, 2021
How to Plot Categorical Data in R-Quick Guide {https://t.co/zg1gte80Un} #rstats #DataScience
— R-bloggers (@Rbloggers) August 16, 2021
Supervised Machine Learning for Text Analysis in R is now complete {https://t.co/mt7lIgLGVT} #rstats #DataScience
— R-bloggers (@Rbloggers) August 13, 2021
Fitting your model is only the beginning: Bayesian posterior probability checks with rvars {https://t.co/SVc4km6YuA} #rstats #DataScience
— R-bloggers (@Rbloggers) August 10, 2021
Meta Analysis in R {https://t.co/wkT5xAE4fz} #rstats #DataScience
— R-bloggers (@Rbloggers) August 15, 2021
ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2 {https://t.co/R9EkbP29bz} #rstats #DataScience
— R-bloggers (@Rbloggers) August 12, 2021
Using R and Microsoft SQL Server to run prediction model with API call {https://t.co/3WlTJ5SW6F} #rstats #DataScience
— R-bloggers (@Rbloggers) August 20, 2021
Predict housing prices in Austin TX with tidymodels and xgboost {https://t.co/PI2ztdwyJ1} #rstats #DataScience
— R-bloggers (@Rbloggers) August 16, 2021
Text mining Star Trek dialogue and classifying characters using machine learning {https://t.co/QZ7bxDnFl6} #rstats #DataScience
— R-bloggers (@Rbloggers) August 18, 2021
Using Shiny in Healthcare: Examples from the 2021 Shiny Contest {https://t.co/G2KwmUzcDM} #rstats #DataScience
— R-bloggers (@Rbloggers) August 17, 2021
10 Steps to Get Started in Sports Analytics {https://t.co/Z2xh6DqT9Y} #rstats #DataScience
— R-bloggers (@Rbloggers) August 20, 2021
Introducing the fastverse: An Extensible Suite of High-Performance and Low-Dependency {https://t.co/IYdDwGo99H} #rstats #DataScience
— R-bloggers (@Rbloggers) August 14, 2021
Creating a composite gif with multiple gganimate panels {https://t.co/uJoi1u4N83} #rstats #DataScience
— R-bloggers (@Rbloggers) August 15, 2021
How to make your home Shiny or Rstudio Server accessible from the public internet {https://t.co/nMCygWXSKC} #rstats #DataScience
— R-bloggers (@Rbloggers) August 17, 2021
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```